K. Rudge

1.5k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

K. Rudge is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, K. Rudge has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in K. Rudge's work include Cancer-related Molecular Pathways (7 papers), Virus-based gene therapy research (3 papers) and DNA Repair Mechanisms (2 papers). K. Rudge is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Virus-based gene therapy research (3 papers) and DNA Repair Mechanisms (2 papers). K. Rudge collaborates with scholars based in United Kingdom. K. Rudge's co-authors include John R. Jenkins, G A Currie, Christine M. Addison, Peter M. Chumakov, Ruth Brain, Antony W. Braithwaite, Toivo Maimets, Edward J. Keenan, Maido Remm and H W Stürzbecher and has published in prestigious journals such as Nature, Nucleic Acids Research and Current topics in microbiology and immunology.

In The Last Decade

K. Rudge

8 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cellular immortalization by a cDNA clone encoding the transformation-associated phosphoprotein p53

1984 477 citations John R. Jenkins, K. Rudge et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. Rudge United Kingdom	7	977	759	358	348	155	8	1.3k
Dan Michalovitz Israel	9	1.7k 1.7×	1.4k 1.8×	390 1.1×	589 1.7×	358 2.3×	10	2.2k
Dorothy L. Buchhagen United States	17	643 0.7×	702 0.9×	311 0.9×	106 0.3×	237 1.5×	26	1.4k
J M Varley United Kingdom	19	758 0.8×	873 1.2×	319 0.9×	50 0.1×	338 2.2×	33	1.6k
Y K Fung United States	17	536 0.5×	834 1.1×	288 0.8×	68 0.2×	112 0.7×	22	1.3k
Paul Shabram United States	12	322 0.3×	740 1.0×	578 1.6×	100 0.3×	46 0.3×	21	1.0k
D T Curiel United States	16	660 0.7×	1.0k 1.4×	1.0k 2.9×	171 0.5×	50 0.3×	21	1.5k
Yosuke Kawakami Japan	19	468 0.5×	556 0.7×	617 1.7×	108 0.3×	73 0.5×	42	1.1k
V Maltby Canada	8	386 0.4×	345 0.5×	112 0.3×	132 0.4×	94 0.6×	8	621
Tanja Hakkarainen Finland	23	639 0.7×	847 1.1×	949 2.7×	247 0.7×	102 0.7×	36	1.4k
T von Rüden Austria	11	344 0.4×	946 1.2×	607 1.7×	83 0.2×	65 0.4×	15	1.3k

Countries citing papers authored by K. Rudge

Since Specialization

Citations

This map shows the geographic impact of K. Rudge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by K. Rudge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rudge more than expected).

Fields of papers citing papers by K. Rudge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Rudge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by K. Rudge. The network helps show where K. Rudge may publish in the future.

Co-authorship network of co-authors of K. Rudge

This figure shows the co-authorship network connecting the top 25 collaborators of K. Rudge. A scholar is included among the top collaborators of K. Rudge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Rudge. K. Rudge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Stürzbecher, H W, Ruth Brain, Christine M. Addison, et al.. (1992). A C-terminal alpha-helix plus basic region motif is the major structural determinant of p53 tetramerization.. PubMed. 7(8). 1513–23. 166 indexed citations

2.

Maimets, Toivo, Peter M. Chumakov, Ruth Brain, et al.. (1990). p53 interacts with p34cdc2 in mammalian cells: implications for cell cycle control and oncogenesis.. PubMed. 5(6). 795–81. 141 indexed citations

3.

Stürzbecher, H W, K. Rudge, Ruth Brain, et al.. (1989). Dissection of the T Antigen/Mouse p53 Complex and Its Inhibitory Effects on Viral Origin-Directed DNA Replication in Vivo and in Vitro. Current topics in microbiology and immunology. 144. 55–62. 1 indexed citations

4.

Brain, Ruth, et al.. (1988). Mouse p53 blocks SV40 DNA replication in vitro and downregulates T antigen DNA helicase activity.. PubMed. 3(4). 405–13. 55 indexed citations

5.

Braithwaite, Antony W., et al.. (1987). Mouse p53 inhibits SV40 origin-dependent DNA replication. Nature. 329(6138). 458–460. 177 indexed citations

6.

Jenkins, John R., K. Rudge, Peter M. Chumakov, & G A Currie. (1985). The cellular oncogene p53 can be activated by mutagenesis. Nature. 317(6040). 816–818. 157 indexed citations

7.

Jenkins, John R., et al.. (1984). Cloning and expression analysis of full length mouse cDNA sequences encoding the transformation associated protein p53. Nucleic Acids Research. 12(14). 5609–5626. 77 indexed citations

8.

Jenkins, John R., K. Rudge, & G A Currie. (1984). Cellular immortalization by a cDNA clone encoding the transformation-associated phosphoprotein p53. Nature. 312(5995). 651–654. 477 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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